Senior Delivery Manager, Data & Models

missionlane; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

missionlane is seeking a seasoned delivery lead to own planning and coordination for data and model initiatives from intake to deployment and maintenance. You will establish delivery practices across technical, credit, risk, and compliance teams to keep dependencies and governance clear.

You will build roadmaps, report initiative status to leaders, coordinate across data engineering, data science, and risk functions, and create playbooks for model development, validation, and approvals.

Qualifications

• 5+ years delivering programs or projects, preferably in financial services or data-heavy settings.
• Experience leading concurrent initiatives across 3+ cross-functional teams.
• Knowledge of data and model lifecycles including validation and monitoring.
• Experience with model governance or risk management in regulated environments.
• Ability to create repeatable delivery processes and handoffs.
• Strong communication and decision-making for issue escalation.
• Willing to travel ~4 times a year for in-person collaboration.

Responsibilities

• Build and maintain roadmaps with milestones, dependencies, and sequencing across data and model work.
• Provide leaders and partner teams with a current view of initiative status, risks, owners, and next steps.
• Coordinate across data engineering, data science, credit, risk, and compliance; surface dependencies early and drive resolutions.
• Create delivery playbooks and clear handoffs for model development, validation, deployment, policy updates, and approvals.
• Prepare model governance reviews so required information and approvals are ready at the right stage.
• Establish delivery practices for data platforms, pipelines, data products, and data quality remediation.
• Improve planning and execution using delivery metrics and retrospectives, and guide colleagues as the practice develops.

Skills

Delivery leadership

Cross-functional coordination

Data/model lifecycle knowledge

Regulatory model governance

Documentation and handoffs

Clear communication

Travel readiness

Job description

Role overview

Own delivery planning and coordination for data and model initiatives from intake through deployment and ongoing maintenance. You will establish delivery practices for work that spans technical, credit, risk, and compliance teams, keeping dependencies, sequencing, and governance clear as priorities evolve.

Responsibilities

• Build and maintain roadmaps with milestones, dependencies, and sequencing across data and model work.
• Provide leaders and partner teams with a current view of initiative status, risks, owners, and next steps.
• Coordinate across data engineering, data science, credit, risk, and compliance; surface dependencies early and drive resolutions.
• Create delivery playbooks and clear handoffs for model development, validation, deployment, policy updates, and approvals.
• Prepare model governance reviews so required information and approvals are ready at the right stage.
• Establish delivery practices for data platforms, pipelines, data products, and data quality remediation.
• Improve planning and execution using delivery metrics and retrospectives, and guide colleagues as the practice develops.

Requirements

• At least five years of program or project delivery experience, ideally in financial services, fintech, or another data-heavy setting.
• Experience leading concurrent initiatives across at least three cross-functional teams, including technical teams.
• Working knowledge of data and model lifecycles, including engineering, validation, deployment, and monitoring.
• Experience with model governance, model risk management, or formal review and approval in a regulated environment.
• Ability to create delivery processes, documentation, reporting, and handoffs that teams sustain.
• Clear communication, sound prioritization, and judgment about when to resolve issues directly or elevate them.
• Willingness to travel approximately four or more times per year for in-person collaboration.

Nice to have

• Direct experience with second-line oversight or bank regulator expectations for model risk, such as preparing for validation or regulatory examinations; experience delivering data platforms or pipelines.